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Primary supervisor - Dr Myriam Charpentier Are you passionate about plant biology, endosymbiosis, system biology or bioengineering? Join a cutting-edge research project exploring how plants
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to analyze and interpret this data and use it to describe dysbiotic microbiomes. Visiting international conferences and training courses as well as exchanges with international collaborators are part of
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model, human organoid technology, cell and molecular biology, confocal microscopy and metagenomic sequence analysis. By deciphering the interactions between AIEC, the microbiome and the intestinal
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PhD Studentships - Process Industries: Net Zero - Chemical Engineering for Sustainable Wastewater-to-Resource Systems Award Summary 100% fees (UK Home only), a minimum tax-free annual living
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, intelligent monitoring systems and predictive technologies have become essential competitive advantages. This project sits at the intersection of data science, engineering, and design innovation, addressing
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: environmental monitoring, AI, computer vision or multispectral imaging. Entry Requirements At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5
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21 Oct 2025 Job Information Organisation/Company The Institute of Cancer Research Research Field Biological sciences » Biology Mathematics » Computational mathematics Researcher Profile First Stage
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spectroscopic methods suitable for large-scale sample screening and eventual field deployment. The project will also involve developing your skills in data science, including multivariate analysis, machine
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research. You will be responsible for designing and implementing proteomic data analysis, with opportunities to apply your skills to integrating this with other data types (e.g. genomic and transcriptomic
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data, you will develop an AI-driven optimisation framework to identify where such interventions can deliver the greatest combined benefits for people and the environment. The research combines urban